View source: R/plot.speciesCharacteristics.R
plot_taxaCharacteristics | R Documentation |
Plot the distribution and responses of the studied taxa
plot_taxaCharacteristics( x, taxanames = x$inputs$taxa.name, climate = x$parameters$climate, col.density = viridis::plasma(20), col.climate = viridis::viridis(22)[3:20], save = FALSE, filename = "taxaCharacteristics.pdf", as.png = FALSE, png.res = 300, width = 7.48, w0 = 0.3, height = 3 * length(climate), h0 = 0.4, add_modern = FALSE, resol = 0.25 )
x |
A |
taxanames |
A list of taxa to use for the plot (default is all the recorded taxa). |
climate |
Climate variables to be used to generate the plot. By default all the variables are included. |
col.density |
The colour gradient to use to map the density of species (top left map). |
col.climate |
The colour gradient to use to map the climate gradients (left column). |
save |
A boolean to indicate if the diagram should be saved as a pdf file.
Default is |
filename |
An absolute or relative path that indicates where the diagram
should be saved. Also used to specify the name of the file. Default:
the file is saved in the working directory under the name
|
as.png |
A boolean to indicate if the output should be saved as a png.
Default is |
png.res |
The resolution of the png file (default 300 pixels per inch). |
width |
The width of the output file in inches (default 7.48in ~ 19cm). |
w0 |
The width of the left column with the names. |
height |
The height of the output file in inches (default 3in ~ 7.6cm per variables). |
h0 |
The vertical space used for the x-axes. |
add_modern |
A boolean to add the location and the modern climate values
to the plot (default |
resol |
For advanced users only: if higher resolution data are used to
estimate the |
No return value, this function is used to plot.
## Not run: data(crest_ex_pse) data(crest_ex_selection) reconstr <- crest.get_modern_data( pse = crest_ex_pse, taxaType = 0, df = crest_ex, climate = c("bio1", "bio12"), selectedTaxa = crest_ex_selection, dbname = "crest_example" ) reconstr <- crest.calibrate(reconstr, geoWeighting = TRUE, climateSpaceWeighting = TRUE, bin_width = c(2, 20), shape = c("normal", "lognormal") ) plot_taxaCharacteristics(reconstr, taxanames='Taxon1') ## End(Not run)
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